title: Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces.
abstract: Designing materials to control biology is an intense focus of biomaterials and regenerative medicine research. Discovering and designing materials with appropriate biological compatibility or active control of cells and tissues is being increasingly undertaken using high throughput synthesis and assessment methods. We report a relatively simple but powerful machine-learning method of generating models that link microscopic or molecular properties of polymers or other materials to their biological effects. We illustrate the potential of these methods by developing the first robust, predictive, quantitative, and purely computational models of adhesion of human embryonic stem cell embryoid bodies (hEB) to the surfaces of a 496-member polymer micro array library.
authors.affiliation: CSIRO Materials Science & Engineering, Parkville, Australia.
authors.forename: V Chandana
authors.initials: VC
authors.lastname: Epa
authors.forename: Jing
authors.initials: J
authors.lastname: Yang
authors.forename: Ying
authors.initials: Y
authors.lastname: Mei
authors.forename: Andrew L
authors.initials: AL
authors.lastname: Hook
authors.forename: Robert
authors.initials: R
authors.lastname: Langer
authors.forename: Daniel G
authors.initials: DG
authors.lastname: Anderson
authors.forename: Martyn C
authors.initials: MC
authors.lastname: Davies
authors.forename: Morgan R
authors.initials: MR
authors.lastname: Alexander
authors.forename: David A
authors.initials: DA
authors.lastname: Winkler